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Even though some training modules show a positive impact on the probability to take up employment, the combination of two or three modules in one program is rather ineffective.
KEGG and Biocarta modules display even higher values of connection degree (in the last case up to half of the modules show a value for the parameter significantly higher than the random expectation).
The most remarkable difference was found in the cluster coefficient parameter, which was extremely low in the case of Biocarta modules (only 1.9% of the modules show a value higher than the random expectation, which rises to a 14.8% if one extra node is allowed).
With regards to the trends for each module, core modules show a sharp difference between all subtypes and normal tissue but then plateau across the subtypes with the exception of the Luminal B module, which is above the rest.
In addition, the modules show a large part of additional genes regulated by drugs that were not deregulated by disease, indicating that the drug interventions target or result in different metabolic and immune-related mechanisms than those related to disease progression.
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The 10-cm and 20-cm depth modules showed a significant damping effect on substrate temperature.
All three online modules showed a didactic pedagogy (show and tell) rather than a constructivist one (teaching for understanding).
In the long-term running, both original and PDMAE-BC membrane modules showed a 100% rejection ratio for E. coli.
Interestingly, the evaluation of self-directed e-learning modules showed a graph looking very similar to a normal distribution (see Fig. 2).
However, the electrical modelling of HCPV modules shows a significantly level of complexity than conventional photovoltaic technology because of the use of multi-junction solar cells and optical devices.
Among three technology modules, a-Si modules showed a maximum increase in UF during monsoon due to its narrow spectral response which is affected more severely by a strong blue shift in APE during this season (Fig. 5). Figure 9 shows a plot between normalized UF (with respect to the highest value of UF) and AM for the present site.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com